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289 points GodelNumbering | 1 comments | | HN request time: 0.206s | source

(* within a few minutes of SEC filing)

Currently does it for 1000+ US companies and specifically earnings related filings. By US companies, I mean the ones that are obliged to file SEC filings.

This was the result of almost a year long effort and hundreds of prototypes :)

It currently auto-publishes for 1000 ish US companies by market cap, relies on 8-K filing as a trigger.

e.g. https://www.signalbloom.ai/news/NVDA will take you to NVDA earnings

Would be grateful to get some feedback. Especially if you follow a company, check its reports out. Thank you!

Some examples: https://www.signalbloom.ai/news/AAPL/apple-q1-eps-beats-desp...

https://www.signalbloom.ai/news/NVDA/nvidia-revenue-soars-ma...

https://www.signalbloom.ai/news/JPM/jpm-beats-estimates-on-c... (JPM earnings from Friday)

Hallucination note: https://www.signalbloom.ai/hallucination-benchmark

1. osigurdson ◴[] No.43681265[source]
One thing that I have hypothesized about, is can material embedding vectors be extracted which are then used to predict prices?

In theory, this is what value investors are doing to some extent. However, embedding vectors often to do match intuition very well.